Metaheuristics for Intelligent Electrical Networks. (Record no. 129131)
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| fixed length control field | 06884nam a22004933i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC4983694 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240729131411.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240724s2017 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119136743 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781848218093 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC4983694 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL4983694 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaPaEBR)ebr11430352 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaONFJC)MIL1028531 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1001287932 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK3105.M483 2017 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Héliodore, édéric. |
| 245 10 - TITLE STATEMENT | |
| Title | Metaheuristics for Intelligent Electrical Networks. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Newark : |
| Name of producer, publisher, distributor, manufacturer | John Wiley & Sons, Incorporated, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2017. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (291 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1. Single Solution Based Metaheuristics -- 1.1. Introduction -- 1.2. The descent method -- 1.3. Simulated annealing -- 1.4. Microcanonical annealing -- 1.5. Tabu search -- 1.6. Pattern search algorithms -- 1.6.1. The GRASP method -- 1.6.2. Variable neighborhood search -- 1.6.3. Guided local search -- 1.6.4. Iterated local search -- 1.7. Other methods -- 1.7.1. The Nelder-Mead simplex method -- 1.7.2. The noising method -- 1.7.3. Smoothing methods -- 1.8. Conclusion -- 2. Population-based Methods -- 2.1. Introduction -- 2.2. Evolutionary algorithms -- 2.2.1. Genetic algorithms -- 2.2.2. Evolution strategies -- 2.2.3. Coevolutionary algorithms -- 2.2.4. Cultural algorithms -- 2.2.5. Differential evolution -- 2.2.6. Biogeography-based optimization -- 2.2.7. Hybrid metaheuristic based on Bayesian estimation -- 2.3. Swarm intelligence -- 2.3.1. Particle Swarm Optimization -- 2.3.2. Ant colony optimization -- 2.3.3. Cuckoo search -- 2.3.4. The firefly algorithm -- 2.3.5. The fireworks algorithm -- 2.4. Conclusion -- 3. Performance Evaluation of Metaheuristics -- 3.1. Introduction -- 3.2. Performance measures -- 3.2.1. Quality of solutions -- 3.2.2. Computational effort -- 3.2.3. Robustness -- 3.3. Statistical analysis -- 3.3.1. Data description -- 3.3.2. Statistical tests -- 3.4. Literature benchmarks -- 3.4.1. Characteristics of a test function -- 3.4.2. Test functions -- 3.5. Conclusion -- 4. Metaheuristics for FACTS Placement and Sizing -- 4.1. Introduction -- 4.2. FACTS devices -- 4.2.1. The SVC -- 4.2.2. The STATCOM -- 4.2.3. The TCSC -- 4.2.4. The UPFC -- 4.3. The PF model and its solution -- 4.3.1. The PF model -- 4.3.2. Solution of the network equations -- 4.3.3. FACTS implementation and network modification. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 4.3.4. Formulation of FACTS placement problem as an optimization issue -- 4.4. PSO for FACTS placement -- 4.4.1. Solutions coding -- 4.4.2. Binary particle swarm optimization -- 4.4.3. Proposed Lévy-based hybrid PSO algorithm -- 4.4.4. "Hybridization" of continuous and discrete PSO algorithms for application to the positioning and sizing of FACTS -- 4.5. Application to the placement and sizing of two FACTS -- 4.5.1. Application to the 30-node IEEE network -- 4.5.2. Application to the IEEE 57-node network -- 4.5.3. Significance of the modified velocity likelihoods method -- 4.5.4. Influence of the upper and lower bounds on the velocity -> -- Vci of particles ci -- 4.5.5. Optimization of the placement of several FACTS of different types (general case) -- 4.6. Conclusion -- 5. Genetic Algorithm-based Wind Farm Topology Optimization -- 5.1. Introduction -- 5.2. Problem statement -- 5.2.1. Context -- 5.2.2. Calculation of power flow in wind turbine connection cables -- 5.3. Genetic algorithms and adaptation to our problem -- 5.3.1. Solution encoding -- 5.3.2. Selection operator -- 5.3.3. Crossover -- 5.3.4. Mutation -- 5.4. Application -- 5.4.1. Application to farms of 15-20 wind turbines -- 5.4.2. Application to a farm of 30 wind turbines -- 5.4.3. Solution of a farm of 30 turbines proposed by human expertise -- 5.4.4. Validation -- 5.5. Conclusion -- 6. Topological Study of Electrical Networks -- 6.1. Introduction -- 6.2. Topological study of networks -- 6.2.1. Random graphs -- 6.2.2. Generalized random graphs -- 6.2.3. Small-world networks -- 6.2.4. Scale-free networks -- 6.2.5. Some results inspired by the theory of percolation -- 6.2.6. Network dynamic robustness -- 6.3. Topological analysis of the Colombian electrical network -- 6.3.1. Phenomenological characteristics -- 6.3.2. Fractal dimension -- 6.3.3. Network robustness -- 6.4. Conclusion. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 7. Parameter Estimation of α-Stable Distributions -- 7.1. Introduction -- 7.2. Lévy probability distribution -- 7.2.1. Definitions -- 7.2.2. McCulloch α-stable distribution generator -- 7.3. Elaboration of our non-parametric α-stable distribution estimator -- 7.3.1. Statistical tests -- 7.3.2. Identification of the optimization problem and design of the non-parametric estimator -- 7.4. Results and comparison with benchmarks -- 7.4.1. Validation with benchmarks -- 7.4.2. Parallelization of the process on a GP/GPU card -- 7.5. Conclusion -- 8. SmartGrid and MicroGrid Perspectives -- 8.1. New SmartGrid concepts -- 8.2. Key elements for SmartGrid deployment -- 8.2.1. Improvement of network resilience in the face of catastrophic climate events -- 8.2.2. Increasing electrical network efficiency -- 8.2.3. Integration of the variability of renewable energy sources -- 8.3. SmartGrids and components technology architecture -- 8.3.1. Global SmartGrid architecture -- 8.3.2. Basic technological elements for SmartGrids -- 8.3.3. Integration of new MicroGrid layers: definition -- Appendix. 1 -- A1.1. Test functions -- Appendix. 2 -- A2.1. Application to the multi-objective case -- A2.1.1. Results obtained by the -Constraint approach -- A2.1.2. Results obtained by the Pareto approach -- Bibliography -- Index -- Other titles from iSTE in Computer Engineering -- EULA. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Smart power grids. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nakib, Amir. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ismail, Boussaad. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ouchraa, Salma. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Schmitt, Laurent. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Héliodore, édéric |
| Title | Metaheuristics for Intelligent Electrical Networks |
| Place, publisher, and date of publication | Newark : John Wiley & Sons, Incorporated,c2017 |
| International Standard Book Number | 9781848218093 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=4983694">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=4983694</a> |
| Public note | Click to View |
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